摘要
云计算是一种为了解决海量数据处理要求的新型技术,云端数据资源的路由规划一直是研究的重点。粒子群优化算法具有智能搜索、全局优化、收敛速度快等特点。为了提高在云数据库路径选择的效率,在标准粒子群算法的基础上,提出了一种改进型的基于质心的粒子群优化算法模型,该算法能够在云中快速、合理地找到所需访问的数据库。仿真实验结果表明,该算法在采用合适的参数情况下具有良好的吞吐量,能有效地提高云计算的效率。
Cloud computing is a new technology to solve the massive data processing requirements, the data resource route scheduling has been the focus of the research. Particle swarm optimization algorithm has many priorities such as intelligent search, global optimization, convergence speed. In order to improve the efficiency of database route scheduling in the cloud, on the basis of in standard particle swarm algorithm, this paper proposed an improved particle swarm optimization algorithm model based on centroid which can find the requiring database of cloud rapidly and effectively. The simulation results show that, the algorithm in the appropriate parameter conditions with good throughput, can effectively improve the efficiency of cloud computing.
出处
《电脑与信息技术》
2014年第1期4-6,10,共4页
Computer and Information Technology
基金
河南省科技攻关项目(项目编号:102102210511)
